Epic Games seeks a Data Specialist with a strong data science background to lead end-to-end data labeling logistics, manage data labelers, and oversee synthetic data generation.  Responsibilities include defining data requirements with ML and data engineering teams, establishing data quality standards and QA processes, and ensuring datasets meet ML readiness benchmarks.  The role involves working with large-scale data, hitting dataset volume targets, and implementing data cleansing strategies.  Experience with data labeling tools like Human Signal/Label Studio and Python programming is essential.

<p>Epic Games is a leading entertainment company and provider of 3D engine technology.</p>

Epic Games

Senior 3D Artist

Security Engineer - Backend (Asset Integrity)

Senior Tools Programmer - Interoperability

Senior Tools Programmer

Senior Network Programmer

Fortnite Gameplay Systems Programmer

International Payroll Manager

IAM Director

Hard Surface Lead

<span class="sc-jXbUNg btmRVe ue-rich-text  loc-en-US"><div class="content-intro"><h2>WHAT MAKES US EPIC?</h2>
<p>At the core of Epic’s success are talented, passionate people. Epic prides itself on creating a collaborative, welcoming, and creative environment. Whether it’s building award-winning games or crafting engine technology that enables others to make visually stunning interactive experiences, we’re always innovating.</p>
<p>Being Epic means being a part of a team that continually strives to do right by our community and users. We’re constantly innovating to raise the bar of engine and game development.</p></div><h2>DATA ENGINEERING</h2>
<h3><strong>What We Do</strong></h3>
<p>Our mission is to provide a world-class platform that empowers the business to leverage data that will enhance, monitor, and support our products. We are responsible for data ingestion systems, processing pipelines, and various data stores all operating in the cloud. We operate at a petabyte scale, and support near real-time use cases as well as more traditional batch approaches.</p>
<h3><strong>What You'll Do</strong></h3>
<p>Epic Games is seeking a data specialist with a solid background in data science who is skilled in conducting comprehensive, end-to-end data collection projects, including data labeling, synthetic data generation, and data quality assessments, to support the training and evaluation of machine learning models. The ideal candidate should be able to leverage their experience to work with large teams of data labelers, establish robust data quality metrics, develop an efficient remediation process, and define meaningful strategies to drive data cleansing activities where needed.</p>
<h3><strong>In this role, you will</strong></h3>
<ul>
<li>Lead the end-to-end logistics of data labeling, ensuring that we’re hitting dataset volume targets for training/evaluation runs</li>
<li><span>Own our data collection efforts, managing a team of (in-house) data labelers </span></li>
<li><span>Own our synthetic data collection efforts, working with a variety of tools to generate large-scale synthetic training data</span></li>
<li><span>Work closely with ML and data engineers to detail data requirements, supporting large-scale data sourcing, enabling data labeling, and quality control</span></li>
<li><span>Develop and enforce stringent data quality standards, implementing QA processes to ensure data meets ML-readiness benchmarks.</span></li>
</ul>
<h3><strong>What we're looking for</strong></h3>
<ul>
<li><span>Strong analytical background: BSc or MSc in data science/machine learning or related topics - candidates without a degree are welcome as long as they have proven hands-on experience.</span></li>
<li><span>Programming experience with Python. </span></li>
<li><span>Experience creating datasets for machine learning, including establishing quality metrics (e.g., agreement).</span></li>
<li><span>Experience with working with teams of data labelers to label datasets.</span></li>
<li><span>Experience with processes to generate synthetic data where real-world data is unavailable.</span></li>
<li><span>Experience with data labeling tools such as Human Signal / Label Studio. </span></li>
</ul>
<h2>EPIC JOB + EPIC BENEFITS = EPIC LIFE</h2>
<p><span data-sheets-userformat="{" 2":13201,"3":{"1":0},"7":{"1":[{"1":2,"2":0,"5":{"1":2,"2":13421772}},{"1":0,"2":0,"3":3},{"1":1,"2":0,"4":1}]},"10":0,"11":4,"12":0,"15":"roboto","16":10}"="">We pay 100% for benefits except for PMI (for dependents). Our current benefits package includes pension, private medical insurance, health care cash plan, dental insurance, disability and life insurance, critical illness, cycle to work scheme, flu shots, health checks, and meals. We also offer a robust mental well-being program through Modern Health, which provides free therapy and coaching for employees &amp; dependents.</span></p><div class="content-conclusion"><h2>ABOUT US</h2>
<p>Epic Games spans across 25 countries with 46 studios and 4,500+ employees globally. For over 25 years, we've been making award-winning games and engine technology that empowers others to make visually stunning games and 3D content that bring environments to life like never before. Epic's award-winning Unreal Engine technology not only provides game developers the ability to build high-fidelity, interactive experiences for PC, console, mobile, and VR, it is also a tool being embraced by content creators across a variety of industries such as media and entertainment, automotive, and architectural design. As we continue to build our Engine technology and develop remarkable games, we strive to build teams of world-class talent.</p>
<h3><strong>Like what you hear? Come be a part of something Epic!</strong></h3>
<p>Epic Games deeply values diverse teams and an inclusive work culture, and we are proud to be an Equal Opportunity employer. Learn more about our Equal Employment Opportunity (EEO) Policy .</p>
<p><strong>Note to Recruitment Agencies: </strong>Epic does not accept any unsolicited resumes or approaches from any unauthorized third party (including recruitment or placement agencies) (i.e., a third party with whom we do not have a negotiated and validly executed agreement). We will not pay any fees to any unauthorized third party. Further details on these matters can be found .</p></div></span>